Job Description/Preferred Qualifications
Design and develop AI-enabled applications and services. Build, train, evaluate, and deploy machine learning and generative AI models. Develop scalable software using modern programming languages and cloud technologies. Collaborate with product managers, domain experts, and software engineers to deliver end-to-end AI solutions. Create data pipelines, model training workflows, and inference services. Integrate AI models into production applications and operational processes. Monitor model performance, reliability, security, and responsible AI compliance. Conduct proof-of-concepts and transition successful prototypes into production systems. Participate in code reviews, testing, DevOps, and software release processes. Experiencebuilding AI agents and agentic workflows.
Experiencewith large language models (LLMs) and Retrieval Augmented Generation (RAG).
Experienceintegrating AI solutions with enterprise systems such as SAP, Snowflake, or manufacturing platforms.
Familiaritywith Azure AI, OpenAI, AWS, or other cloud AI services.
Knowledgeof data engineering, analytics, and MLOps practices.
Minimum Qualifications
Base Pay Range: $94,100.00 - $160,000.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
